An Ensemble Learning Method to Predict Airline Ticket Price Using Machine Learning

In recent years airline travel has become a common mode of transportation. People often prefer travelling through airlines to reach destination as early as possible. But the ticket booking for airlines is somewhat a hectic process because the price value changes day to day based on the availability of flights. So far so many Machine Learning algorithms were used to improve the prediction of ticket prices. This paper presents a comparison of two ensemble machine learning algorithms namely Random Forest and XGBoost to detect the airplane ticket price. Detecting airline price using XGBoost given more accuracy when compared to existing system.